python中dict的深层副本

iq3niunx  于 2023-03-04  发布在  Python
关注(0)|答案(3)|浏览(130)

我想用python做一个dict的深拷贝,不幸的是.deepcopy()dict方法不存在,我该怎么做呢?

>>> my_dict = {'a': [1, 2, 3], 'b': [4, 5, 6]}
>>> my_copy = my_dict.deepcopy()
Traceback (most recent calll last):
  File "<stdin>", line 1, in <module>
AttributeError: 'dict' object has no attribute 'deepcopy'
>>> my_copy = my_dict.copy()
>>> my_dict['a'][2] = 7
>>> my_copy['a'][2]
7

最后一行应为3
我希望my_dict中的修改不会影响快照my_copy
我该怎么做?解决方案应该与Python 3.x兼容。

vi4fp9gy

vi4fp9gy1#

不如这样:

import copy
d = { ... }
d2 = copy.deepcopy(d)

Python 2或Python 3:

Python 3.2 (r32:88445, Feb 20 2011, 21:30:00) [MSC v.1500 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import copy
>>> my_dict = {'a': [1, 2, 3], 'b': [4, 5, 6]}
>>> my_copy = copy.deepcopy(my_dict)
>>> my_dict['a'][2] = 7
>>> my_copy['a'][2]
3
>>>
xn1cxnb4

xn1cxnb42#

***dict.copy()***是字典的浅复制函数
***id***是一个内置函数,它提供变量的地址

首先,你需要理解“为什么会发生这种特殊的问题?”

In [1]: my_dict = {'a': [1, 2, 3], 'b': [4, 5, 6]}

In [2]: my_copy = my_dict.copy()

In [3]: id(my_dict)
Out[3]: 140190444167808

In [4]: id(my_copy)
Out[4]: 140190444170328

In [5]: id(my_copy['a'])
Out[5]: 140190444024104

In [6]: id(my_dict['a'])
Out[6]: 140190444024104

在关键字'a'的两个字典中出现的列表地址指向相同的位置。
因此,当您更改my_dict中列表的值时,my_copy中的列表也会更改。

问题中提到的数据结构的解决方案:

In [7]: my_copy = {key: value[:] for key, value in my_dict.items()}

In [8]: id(my_copy['a'])
Out[8]: 140190444024176

或者你可以使用上面提到的deepcopy。

nhaq1z21

nhaq1z213#

Python 3.x

from copy import deepcopy

# define the original dictionary
original_dict = {'a': [1, 2, 3], 'b': {'c': 4, 'd': 5, 'e': 6}}

# make a deep copy of the original dictionary
new_dict = deepcopy(original_dict)

# modify the dictionary in a loop
for key in new_dict:
    if isinstance(new_dict[key], dict) and 'e' in new_dict[key]:
        del new_dict[key]['e']

# print the original and modified dictionaries
print('Original dictionary:', original_dict)
print('Modified dictionary:', new_dict)

这将产生:

Original dictionary: {'a': [1, 2, 3], 'b': {'c': 4, 'd': 5, 'e': 6}}
Modified dictionary: {'a': [1, 2, 3], 'b': {'c': 4, 'd': 5}}

如果没有new_dict = deepcopy(original_dict),则无法删除“e”元素。
因为如果循环是for key in original_dict,并且试图修改original_dict,则会观察到RuntimeError:

"RuntimeError: dictionary changed size during iteration"

因此,为了在迭代中修改字典,必须使用字典的副本。
下面是一个从字典中删除元素的示例函数:

def remove_hostname(domain, hostname):
    domain_copy = deepcopy(domain)
    for domains, hosts in domain_copy.items():
        for host, port in hosts.items():
           if host == hostname:
                del domain[domains][host]
    return domain

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